{
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  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-09-07T13:38:22.551901Z",
     "start_time": "2025-09-07T13:38:22.521921Z"
    }
   },
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "df = pd.read_csv('data_boy_clean_all.csv', encoding='gbk')\n",
    "df.head()"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   序号  孕妇代码  年龄     身高    体重       末次月经  IVF妊娠      检测日期  检测抽血次数   检测孕周  ...  \\\n",
       "0   1  A001  31  160.0  72.0   2023/2/1      1  20230429       1  11w+6  ...   \n",
       "1   2  A001  31  160.0  73.0   2023/2/1      1  20230531       2  15w+6  ...   \n",
       "2   3  A001  31  160.0  73.0   2023/2/1      1  20230625       3  20w+1  ...   \n",
       "3   4  A001  31  160.0  74.0   2023/2/1      1  20230716       4  22w+6  ...   \n",
       "4   5  A002  32  149.0  74.0  2023/11/9      1  20240219       1  13w+6  ...   \n",
       "\n",
       "     X染色体浓度  13号染色体的GC含量  18号染色体的GC含量  21号染色体的GC含量  被过滤掉读段数的比例  染色体的非整倍体  \\\n",
       "0  0.038061     0.377069     0.389803     0.399399    0.027484       NaN   \n",
       "1  0.059572     0.371542     0.384771     0.391706    0.019617       NaN   \n",
       "2  0.075995     0.377449     0.390582     0.399480    0.022312       NaN   \n",
       "3  0.052305     0.375613     0.389251     0.397212    0.023280       NaN   \n",
       "4  0.059708     0.380260     0.393618     0.404868    0.024212       NaN   \n",
       "\n",
       "   怀孕次数  生产次数  胎儿是否健康    检测孕周_周数  \n",
       "0     1     0       1  11.857143  \n",
       "1     1     0       1  15.857143  \n",
       "2     1     0       1  20.142857  \n",
       "3     1     0       1  22.857143  \n",
       "4     2     1       0  13.857143  \n",
       "\n",
       "[5 rows x 32 columns]"
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>序号</th>\n",
       "      <th>孕妇代码</th>\n",
       "      <th>年龄</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>末次月经</th>\n",
       "      <th>IVF妊娠</th>\n",
       "      <th>检测日期</th>\n",
       "      <th>检测抽血次数</th>\n",
       "      <th>检测孕周</th>\n",
       "      <th>...</th>\n",
       "      <th>X染色体浓度</th>\n",
       "      <th>13号染色体的GC含量</th>\n",
       "      <th>18号染色体的GC含量</th>\n",
       "      <th>21号染色体的GC含量</th>\n",
       "      <th>被过滤掉读段数的比例</th>\n",
       "      <th>染色体的非整倍体</th>\n",
       "      <th>怀孕次数</th>\n",
       "      <th>生产次数</th>\n",
       "      <th>胎儿是否健康</th>\n",
       "      <th>检测孕周_周数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>A001</td>\n",
       "      <td>31</td>\n",
       "      <td>160.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>2023/2/1</td>\n",
       "      <td>1</td>\n",
       "      <td>20230429</td>\n",
       "      <td>1</td>\n",
       "      <td>11w+6</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038061</td>\n",
       "      <td>0.377069</td>\n",
       "      <td>0.389803</td>\n",
       "      <td>0.399399</td>\n",
       "      <td>0.027484</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>A001</td>\n",
       "      <td>31</td>\n",
       "      <td>160.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>2023/2/1</td>\n",
       "      <td>1</td>\n",
       "      <td>20230531</td>\n",
       "      <td>2</td>\n",
       "      <td>15w+6</td>\n",
       "      <td>...</td>\n",
       "      <td>0.059572</td>\n",
       "      <td>0.371542</td>\n",
       "      <td>0.384771</td>\n",
       "      <td>0.391706</td>\n",
       "      <td>0.019617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>15.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>A001</td>\n",
       "      <td>31</td>\n",
       "      <td>160.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>2023/2/1</td>\n",
       "      <td>1</td>\n",
       "      <td>20230625</td>\n",
       "      <td>3</td>\n",
       "      <td>20w+1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.075995</td>\n",
       "      <td>0.377449</td>\n",
       "      <td>0.390582</td>\n",
       "      <td>0.399480</td>\n",
       "      <td>0.022312</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>20.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>A001</td>\n",
       "      <td>31</td>\n",
       "      <td>160.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>2023/2/1</td>\n",
       "      <td>1</td>\n",
       "      <td>20230716</td>\n",
       "      <td>4</td>\n",
       "      <td>22w+6</td>\n",
       "      <td>...</td>\n",
       "      <td>0.052305</td>\n",
       "      <td>0.375613</td>\n",
       "      <td>0.389251</td>\n",
       "      <td>0.397212</td>\n",
       "      <td>0.023280</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>22.857143</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>A002</td>\n",
       "      <td>32</td>\n",
       "      <td>149.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>2023/11/9</td>\n",
       "      <td>1</td>\n",
       "      <td>20240219</td>\n",
       "      <td>1</td>\n",
       "      <td>13w+6</td>\n",
       "      <td>...</td>\n",
       "      <td>0.059708</td>\n",
       "      <td>0.380260</td>\n",
       "      <td>0.393618</td>\n",
       "      <td>0.404868</td>\n",
       "      <td>0.024212</td>\n",
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     "execution_count": 1,
     "metadata": {},
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   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-07T13:38:23.002886Z",
     "start_time": "2025-09-07T13:38:22.989022Z"
    }
   },
   "cell_type": "code",
   "source": [
    "df = df[['孕妇代码', '孕妇BMI', 'Y染色体浓度', '检测孕周_周数', '胎儿是否健康']]\n",
    "df.head(10)\n",
    "df['BMI_等频分组'] = pd.qcut(df['孕妇BMI'], q=5, labels=False, duplicates='drop') # 等频分\n",
    "df_sorted = df.sort_values(by='BMI_等频分组') # 排序\n",
    "df_sorted # 得到分组集合\n",
    "\n",
    "\"\"\"K-Means聚类分析，发现不适用后注释\"\"\"\n",
    "# import pandas as pd\n",
    "# import numpy as np\n",
    "# from sklearn.cluster import KMeans\n",
    "# from sklearn.preprocessing import StandardScaler\n",
    "# import matplotlib.pyplot as plt\n",
    "# import seaborn as sns\n",
    "# from scipy.stats import gaussian_kde\n",
    "#\n",
    "# # 假设你的DataFrame叫 df\n",
    "# # 提取需要聚类的特征\n",
    "# X = df[['孕妇BMI', 'Y染色体浓度']].values\n",
    "#\n",
    "# scaler = StandardScaler()\n",
    "# X_scaled = scaler.fit_transform(X) # 同时计算均值和标准差并进行转换\n",
    "#\n",
    "# # 创建K-Means模型，设置聚类数为5\n",
    "# kmeans = KMeans(n_clusters=5, random_state=42)\n",
    "#\n",
    "# # 拟合模型\n",
    "# kmeans.fit(X_scaled)\n",
    "# # 获取聚类标签 (0, 1, 2, 3, 4)\n",
    "# cluster_labels = kmeans.labels_\n",
    "#\n",
    "# # 将聚类结果作为新列添加回DataFrame\n",
    "# df['KMeans_Cluster'] = cluster_labels\n",
    "# df_sorted = df.sort_values(by='KMeans_Cluster')\n",
    "# # (可选) 查看每个簇的大小\n",
    "# print(df['KMeans_Cluster'].value_counts().sort_index())\n",
    "#\n",
    "# # (可选) 查看聚类中心点 (在标准化后的空间里)\n",
    "# print(\"Cluster centers (scaled):\")\n",
    "# print(kmeans.cluster_centers_)\n",
    "#\n",
    "# # (可选) 如果你想看原始尺度上的中心点大致位置，可以逆转换\n",
    "# # 注意：这只是一个近似，因为逆转换后的中心点不一定完全代表原始簇的中心\n",
    "# centers_original_scale = scaler.inverse_transform(kmeans.cluster_centers_)\n",
    "# print(\"\\nApproximate cluster centers in original scale:\")\n",
    "# print(pd.DataFrame(centers_original_scale, columns=['孕妇BMI', 'Y染色体浓度']))\n",
    "#\n",
    "# # 设置中文字体支持（如果需要）\n",
    "# plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "# plt.rcParams['axes.unicode_minus'] = False\n",
    "#\n",
    "# # 创建图形和子图\n",
    "# fig = plt.figure(figsize=(12, 10))\n",
    "#\n",
    "# # 使用GridSpec创建复杂的子图布局\n",
    "# gs = plt.GridSpec(4, 4)\n",
    "#\n",
    "# # 主散点图\n",
    "# ax_scatter = fig.add_subplot(gs[1:4, 0:3])\n",
    "# scatter = ax_scatter.scatter(df['孕妇BMI'], df['Y染色体浓度'], c=df['KMeans_Cluster'], cmap='viridis', alpha=0.6)\n",
    "# plt.colorbar(scatter, ax=ax_scatter, label='Cluster ID')\n",
    "# ax_scatter.set_xlabel('孕妇BMI')\n",
    "# ax_scatter.set_ylabel('Y染色体浓度')\n",
    "# ax_scatter.set_title('K-Means Clustering (k=5) of 孕妇BMI and Y染色体浓度')\n",
    "# ax_scatter.grid(True, alpha=0.3)\n",
    "#\n",
    "# # BMI的分布直方图（顶部）\n",
    "# ax_hist_x = fig.add_subplot(gs[0, 0:3], sharex=ax_scatter)\n",
    "# bmi_values = df['孕妇BMI'].values\n",
    "# ax_hist_x.hist(bmi_values, bins=30, density=True, alpha=0.7, color='skyblue', edgecolor='black')\n",
    "# # 添加BMI的核密度估计曲线\n",
    "# bmi_density = gaussian_kde(bmi_values)\n",
    "# bmi_xs = np.linspace(min(bmi_values), max(bmi_values), 200)\n",
    "# ax_hist_x.plot(bmi_xs, bmi_density(bmi_xs), 'r-', linewidth=2)\n",
    "# ax_hist_x.set_ylabel('密度')\n",
    "# ax_hist_x.set_title('BMI分布')\n",
    "# ax_hist_x.grid(True, alpha=0.3)\n",
    "#\n",
    "# # Y染色体浓度的分布直方图（右侧）\n",
    "# ax_hist_y = fig.add_subplot(gs[1:4, 3], sharey=ax_scatter)\n",
    "# y_chr_values = df['Y染色体浓度'].values\n",
    "# ax_hist_y.hist(y_chr_values, bins=30, density=True, alpha=0.7, color='lightgreen',\n",
    "#                edgecolor='black', orientation='horizontal')\n",
    "# # 添加Y染色体浓度的核密度估计曲线\n",
    "# y_density = gaussian_kde(y_chr_values)\n",
    "# y_ys = np.linspace(min(y_chr_values), max(y_chr_values), 200)\n",
    "# ax_hist_y.plot(y_density(y_ys), y_ys, 'r-', linewidth=2)\n",
    "# ax_hist_y.set_xlabel('密度')\n",
    "# ax_hist_y.set_title('Y染色体浓度分布')\n",
    "# ax_hist_y.grid(True, alpha=0.3)\n",
    "#\n",
    "# # 隐藏不需要的刻度标签\n",
    "# plt.setp(ax_hist_x.get_xticklabels(), visible=False)\n",
    "# plt.setp(ax_hist_y.get_yticklabels(), visible=False)\n",
    "#\n",
    "# plt.tight_layout()\n",
    "# plt.savefig(\"sovle_2_BMI分组_K-Means.png\", dpi=600, bbox_inches='tight')\n",
    "# plt.show()\n",
    "#\n",
    "# # 单独绘制所有数据的分布曲线（如果需要）\n",
    "# plt.figure(figsize=(12, 5))\n",
    "#\n",
    "# # BMI分布\n",
    "# plt.subplot(1, 2, 1)\n",
    "# plt.hist(bmi_values, bins=30, density=True, alpha=0.7, color='skyblue', edgecolor='black', label='BMI分布')\n",
    "# plt.plot(bmi_xs, bmi_density(bmi_xs), 'r-', linewidth=2, label='核密度估计')\n",
    "# plt.xlabel('孕妇BMI')\n",
    "# plt.ylabel('密度')\n",
    "# plt.title('BMI分布曲线')\n",
    "# plt.legend()\n",
    "# plt.grid(True, alpha=0.3)\n",
    "#\n",
    "# # Y染色体浓度分布\n",
    "# plt.subplot(1, 2, 2)\n",
    "# plt.hist(y_chr_values, bins=30, density=True, alpha=0.7, color='lightgreen', edgecolor='black', label='Y染色体浓度分布')\n",
    "# plt.plot(y_density(y_ys), y_ys, 'r-', linewidth=2, label='核密度估计')\n",
    "# plt.xlabel('密度')\n",
    "# plt.ylabel('Y染色体浓度')\n",
    "# plt.title('Y染色体浓度分布曲线')\n",
    "# plt.legend()\n",
    "# plt.grid(True, alpha=0.3)\n",
    "#\n",
    "# plt.tight_layout()\n",
    "# plt.savefig(\"sovle_2_分布曲线.png\", dpi=600, bbox_inches='tight')\n",
    "# plt.show()"
   ],
   "id": "d00d4e5a08721b7a",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'K-Means聚类分析，发现不适用后注释'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-07T13:38:23.080119Z",
     "start_time": "2025-09-07T13:38:23.065002Z"
    }
   },
   "cell_type": "code",
   "source": [
    "df_sorted.groupby(by='BMI_等频分组')['孕妇代码'].count() # 分组统计\n",
    "df_sorted.groupby(by='BMI_等频分组')['孕妇BMI'].min ()\n",
    "df_sorted.groupby(by='BMI_等频分组')['孕妇BMI'].max ()"
   ],
   "id": "12f371f4d3d78b51",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BMI_等频分组\n",
       "0    29.955556\n",
       "1    31.164139\n",
       "2    32.653061\n",
       "3    34.428155\n",
       "4    46.875000\n",
       "Name: 孕妇BMI, dtype: float64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-07T13:38:23.204615Z",
     "start_time": "2025-09-07T13:38:23.189891Z"
    }
   },
   "cell_type": "code",
   "source": [
    "df_sorted['Y是否可检测'] = np.where(df_sorted['Y染色体浓度'] < 0.04, 0, 1)\n",
    "x = df_sorted[['Y是否可检测', '检测孕周_周数', 'BMI_等频分组']]\n",
    "x"
   ],
   "id": "48ccd3f847a44e7c",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "     Y是否可检测    检测孕周_周数  BMI_等频分组\n",
       "0         0  11.857143         0\n",
       "199       1  12.285714         0\n",
       "200       1  16.714286         0\n",
       "201       1  20.000000         0\n",
       "202       1  23.857143         0\n",
       "..      ...        ...       ...\n",
       "142       1  13.285714         4\n",
       "143       0  17.285714         4\n",
       "144       1  21.142857         4\n",
       "789       1  15.714286         4\n",
       "180       0  24.571429         4\n",
       "\n",
       "[1082 rows x 3 columns]"
      ],
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Y是否可检测</th>\n",
       "      <th>检测孕周_周数</th>\n",
       "      <th>BMI_等频分组</th>\n",
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       "      <th>199</th>\n",
       "      <td>1</td>\n",
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       "      <th>200</th>\n",
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       "      <td>16.714286</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>1</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>1</td>\n",
       "      <td>23.857143</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>1</td>\n",
       "      <td>13.285714</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>0</td>\n",
       "      <td>17.285714</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>1</td>\n",
       "      <td>21.142857</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>789</th>\n",
       "      <td>1</td>\n",
       "      <td>15.714286</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>0</td>\n",
       "      <td>24.571429</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1082 rows × 3 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 4
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-07T13:38:28.582716Z",
     "start_time": "2025-09-07T13:38:23.315715Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "\n",
    "# 设置全局字体\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 使用黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False    # 解决负号显示问题\n",
    "\n",
    "# 创建Y是否可检测列\n",
    "df_sorted['Y是否可检测'] = np.where(df_sorted['Y染色体浓度'] < 0.04, 0, 1)\n",
    "\n",
    "# 正确选择多列\n",
    "x = df_sorted[['Y是否可检测', '检测孕周_周数', 'BMI_等频分组']]\n",
    "\n",
    "# 获取唯一的BMI分组\n",
    "bmi_groups = df_sorted['BMI_等频分组'].unique()\n",
    "bmi_groups.sort()\n",
    "\n",
    "\n",
    "\n",
    "# 为每个BMI分组创建子图\n",
    "fig, axes = plt.subplots(len(bmi_groups), 1, figsize=(10, 6*len(bmi_groups)))\n",
    "if len(bmi_groups) == 1:\n",
    "    axes = [axes]\n",
    "\n",
    "# 存储每个组的模型结果\n",
    "models = {}\n",
    "\n",
    "for i, group in enumerate(bmi_groups):\n",
    "    # 提取当前分组的数据\n",
    "    group_data = df_sorted[df_sorted['BMI_等频分组'] == group]\n",
    "\n",
    "    # 准备自变量和因变量\n",
    "    X_var = group_data['检测孕周_周数']\n",
    "    y_var = group_data['Y是否可检测']\n",
    "\n",
    "    # 添加常数项（截距）\n",
    "    X_var = sm.add_constant(X_var)\n",
    "\n",
    "    # 创建并拟合Logistic回归模型\n",
    "    model = sm.Logit(y_var, X_var)\n",
    "    result = model.fit()\n",
    "    models[group] = result\n",
    "\n",
    "    # 打印模型摘要\n",
    "    print(f\"\\nBMI分组 {group} 的Logistic回归结果:\")\n",
    "    print(result.summary())\n",
    "\n",
    "    # 生成预测概率\n",
    "    X_pred = np.linspace(X_var['检测孕周_周数'].min(), X_var['检测孕周_周数'].max(), 100)\n",
    "    X_pred_const = sm.add_constant(X_pred)\n",
    "    y_pred = result.predict(X_pred_const)\n",
    "\n",
    "    # 绘制散点图和拟合曲线\n",
    "    axes[i].scatter(group_data['检测孕周_周数'], group_data['Y是否可检测'],\n",
    "                   alpha=0.5, label='实际数据')\n",
    "    axes[i].plot(X_pred, y_pred, color='red', linewidth=2, label='拟合概率曲线')\n",
    "    axes[i].set_xlabel('检测孕周_周数')\n",
    "    axes[i].set_ylabel('Y检测概率')\n",
    "    axes[i].set_title(f'BMI分组 {group}: Y检测概率与孕周关系')\n",
    "    axes[i].legend()\n",
    "    axes[i].grid(True, alpha=0.3)\n",
    "\n",
    "    # 保存当前子图为单独的高分辨率图像\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    plt.scatter(group_data['检测孕周_周数'], group_data['Y是否可检测'],\n",
    "               alpha=0.5, label='实际数据')\n",
    "    plt.plot(X_pred, y_pred, color='red', linewidth=2, label='拟合概率曲线')\n",
    "    plt.xlabel('检测孕周_周数')\n",
    "    plt.ylabel('Y检测概率')\n",
    "    plt.title(f'BMI分组 {group}: Y检测概率与孕周关系')\n",
    "    plt.legend()\n",
    "    plt.grid(True, alpha=0.3)\n",
    "    plt.savefig(f\"sovle_2_BMI分组_{group}_Logistic回归.png\",\n",
    "               dpi=600, bbox_inches='tight')\n",
    "    plt.close()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "plt.close()\n"
   ],
   "id": "8a12b6458f2640f1",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.371729\n",
      "         Iterations 6\n",
      "\n",
      "BMI分组 0 的Logistic回归结果:\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                 Y是否可检测   No. Observations:                  217\n",
      "Model:                          Logit   Df Residuals:                      215\n",
      "Method:                           MLE   Df Model:                            1\n",
      "Date:                Sun, 07 Sep 2025   Pseudo R-squ.:                 0.01043\n",
      "Time:                        21:38:24   Log-Likelihood:                -80.665\n",
      "converged:                       True   LL-Null:                       -81.516\n",
      "Covariance Type:            nonrobust   LLR p-value:                    0.1922\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const          0.7666      0.948      0.809      0.419      -1.091       2.624\n",
      "检测孕周_周数        0.0764      0.061      1.250      0.211      -0.043       0.196\n",
      "==============================================================================\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.317938\n",
      "         Iterations 6\n",
      "\n",
      "BMI分组 1 的Logistic回归结果:\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                 Y是否可检测   No. Observations:                  216\n",
      "Model:                          Logit   Df Residuals:                      214\n",
      "Method:                           MLE   Df Model:                            1\n",
      "Date:                Sun, 07 Sep 2025   Pseudo R-squ.:                0.003132\n",
      "Time:                        21:38:24   Log-Likelihood:                -68.675\n",
      "converged:                       True   LL-Null:                       -68.890\n",
      "Covariance Type:            nonrobust   LLR p-value:                    0.5113\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const          1.5851      1.006      1.576      0.115      -0.387       3.557\n",
      "检测孕周_周数        0.0386      0.060      0.647      0.517      -0.078       0.156\n",
      "==============================================================================\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.347755\n",
      "         Iterations 7\n",
      "\n",
      "BMI分组 2 的Logistic回归结果:\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                 Y是否可检测   No. Observations:                  216\n",
      "Model:                          Logit   Df Residuals:                      214\n",
      "Method:                           MLE   Df Model:                            1\n",
      "Date:                Sun, 07 Sep 2025   Pseudo R-squ.:                 0.02957\n",
      "Time:                        21:38:25   Log-Likelihood:                -75.115\n",
      "converged:                       True   LL-Null:                       -77.404\n",
      "Covariance Type:            nonrobust   LLR p-value:                   0.03238\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const          0.0548      0.971      0.056      0.955      -1.849       1.959\n",
      "检测孕周_周数        0.1216      0.061      2.001      0.045       0.002       0.241\n",
      "==============================================================================\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.317052\n",
      "         Iterations 7\n",
      "\n",
      "BMI分组 3 的Logistic回归结果:\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                 Y是否可检测   No. Observations:                  216\n",
      "Model:                          Logit   Df Residuals:                      214\n",
      "Method:                           MLE   Df Model:                            1\n",
      "Date:                Sun, 07 Sep 2025   Pseudo R-squ.:                 0.03670\n",
      "Time:                        21:38:26   Log-Likelihood:                -68.483\n",
      "converged:                       True   LL-Null:                       -71.093\n",
      "Covariance Type:            nonrobust   LLR p-value:                   0.02234\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const          4.3277      0.984      4.399      0.000       2.399       6.256\n",
      "检测孕周_周数       -0.1280      0.055     -2.347      0.019      -0.235      -0.021\n",
      "==============================================================================\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.529614\n",
      "         Iterations 6\n",
      "\n",
      "BMI分组 4 的Logistic回归结果:\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                 Y是否可检测   No. Observations:                  217\n",
      "Model:                          Logit   Df Residuals:                      215\n",
      "Method:                           MLE   Df Model:                            1\n",
      "Date:                Sun, 07 Sep 2025   Pseudo R-squ.:                 0.01883\n",
      "Time:                        21:38:27   Log-Likelihood:                -114.93\n",
      "converged:                       True   LL-Null:                       -117.13\n",
      "Covariance Type:            nonrobust   LLR p-value:                   0.03571\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const         -0.2322      0.700     -0.331      0.740      -1.605       1.141\n",
      "检测孕周_周数        0.0802      0.039      2.065      0.039       0.004       0.156\n",
      "==============================================================================\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x3000 with 5 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-07T13:38:33.243146Z",
     "start_time": "2025-09-07T13:38:28.678374Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.optimize import minimize_scalar, differential_evolution\n",
    "\n",
    "# 设置中文字体\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 定义概率函数\n",
    "def probability_function(t, alpha, beta):\n",
    "    z = alpha + beta * t\n",
    "    if z < -500:\n",
    "        return 0.0\n",
    "    elif z > 500:\n",
    "        return 1.0\n",
    "    else:\n",
    "        return 1 / (1 + np.exp(-z))\n",
    "\n",
    "# 定义未达标风险函数\n",
    "def risk_function(t, alpha, beta):\n",
    "    return 1 - probability_function(t, alpha, beta)\n",
    "\n",
    "# 定义检测延迟函数\n",
    "def delay_function(t, t0=84):\n",
    "    return np.maximum(0, t - t0)\n",
    "\n",
    "# 定义综合损失函数 L\n",
    "def loss_function(t, alpha, beta, w_u, w_d, t0=84):\n",
    "    risk = risk_function(t, alpha, beta)\n",
    "    delay = delay_function(t, t0)\n",
    "    return w_u * risk + w_d * delay\n",
    "\n",
    "# 设置权重参数\n",
    "w_u = 8000\n",
    "w_d = 0.5\n",
    "t0 = 84\n",
    "t_min = 70\n",
    "t_max = 140\n",
    "\n",
    "params = {\n",
    "    0: (0.7666, 0.0764),\n",
    "    1: (1.5851, 0.0386),\n",
    "    2: (0.0548, 0.1216),\n",
    "    3: (4.3277, -0.1280),\n",
    "    4: (-0.2322, 0.0802)\n",
    "}\n",
    "\n",
    "# 计算最佳检测时点\n",
    "best_times = {}\n",
    "optimization_methods = {}\n",
    "\n",
    "for group, (alpha, beta) in params.items():\n",
    "    def loss_to_minimize(t):\n",
    "        return loss_function(t, alpha, beta, w_u, w_d, t0)\n",
    "\n",
    "    if beta < 0:\n",
    "        # β<0时，最优解通常在边界，直接检查边界和t0\n",
    "        t_candidates = [t_min, t0]\n",
    "        losses = [loss_to_minimize(t) for t in t_candidates]\n",
    "        best_idx = np.argmin(losses)\n",
    "        best_times[group] = t_candidates[best_idx]\n",
    "        optimization_methods[group] = '边界检查'\n",
    "    else:\n",
    "        # β>0时，使用更适合全局优化的方法\n",
    "        try:\n",
    "            # 尝试使用Brent方法\n",
    "            result = minimize_scalar(\n",
    "                loss_to_minimize,\n",
    "                bounds=(t_min, t_max),\n",
    "                method='bounded',\n",
    "                options={'xatol': 1e-8, 'maxiter': 1000}\n",
    "            )\n",
    "            if result.success:\n",
    "                best_times[group] = result.x\n",
    "                optimization_methods[group] = 'Brent'\n",
    "            else:\n",
    "                # 如果失败，使用差分进化算法\n",
    "                result = differential_evolution(\n",
    "                    loss_to_minimize,\n",
    "                    bounds=[(t_min, t_max)],\n",
    "                    strategy='best1bin',\n",
    "                    popsize=15,\n",
    "                    tol=1e-8,\n",
    "                    mutation=(0.5, 1),\n",
    "                    recombination=0.7\n",
    "                )\n",
    "                best_times[group] = result.x[0]\n",
    "                optimization_methods[group] = '差分进化'\n",
    "        except:\n",
    "            # 最后备选方案：精细网格搜索\n",
    "            t_values = np.linspace(t_min, t_max, 5000)\n",
    "            loss_values = [loss_to_minimize(t) for t in t_values]\n",
    "            best_idx = np.argmin(loss_values)\n",
    "            best_times[group] = t_values[best_idx]\n",
    "            optimization_methods[group] = '精细网格搜索'\n",
    "\n",
    "print(\"各分组最佳检测时点计算结果:\")\n",
    "for group in best_times:\n",
    "    alpha, beta = params[group]\n",
    "    best_t = best_times[group]\n",
    "    best_prob = probability_function(best_t, alpha, beta)\n",
    "    best_loss = loss_function(best_t, alpha, beta, w_u, w_d, t0)\n",
    "    method = optimization_methods.get(group, '未知')\n",
    "\n",
    "    print(f\"分组 {group}:\")\n",
    "    print(f\"  参数: α={alpha:.4f}, β={beta:.4f}\")\n",
    "    print(f\"  最佳检测时点: {best_t:.5f} 天 ({best_t/7:.5f} 周)\")\n",
    "    print(f\"  此时达标概率: {best_prob:.4f}\")\n",
    "    print(f\"  最小综合损失: {best_loss:.4f}\")\n",
    "    print(f\"  计算方法: {method}\")\n",
    "\n",
    "# 可视化损失函数曲线\n",
    "for group, (alpha, beta) in params.items():\n",
    "    best_t = best_times[group]\n",
    "\n",
    "    t_values = np.linspace(t_min, t_max, 1000)\n",
    "    loss_values = [loss_function(t, alpha, beta, w_u, w_d, t0) for t in t_values]\n",
    "\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    plt.plot(t_values, loss_values, label='损失函数')\n",
    "    plt.axvline(x=best_t, color='r', linestyle='--', label=f'最优解: {best_t:.2f}天')\n",
    "    plt.axvline(x=t0, color='g', linestyle='--', label=f'推荐点: {t0}天')\n",
    "    plt.xlabel('孕周(天)')\n",
    "    plt.ylabel('综合损失')\n",
    "    plt.title(f'分组 {group} 损失函数曲线 (α={alpha:.4f}, β={beta:.4f})')\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "    filename = f'sovle_2_BMI分组_{group}_损失函数曲线.png'\n",
    "    plt.savefig(filename, dpi=600, bbox_inches='tight')  # 高分辨率保存[1,3](@ref)\n",
    "    print(f\"已保存图片: {filename}\")\n",
    "    plt.show()\n"
   ],
   "id": "f17b47f11be89514",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "各分组最佳检测时点计算结果:\n",
      "分组 0:\n",
      "  参数: α=0.7666, β=0.0764\n",
      "  最佳检测时点: 84.00000 天 (12.00000 周)\n",
      "  此时达标概率: 0.9992\n",
      "  最小综合损失: 6.0632\n",
      "  计算方法: Brent\n",
      "分组 1:\n",
      "  参数: α=1.5851, β=0.0386\n",
      "  最佳检测时点: 125.32370 天 (17.90339 周)\n",
      "  此时达标概率: 0.9984\n",
      "  最小综合损失: 33.6363\n",
      "  计算方法: Brent\n",
      "分组 2:\n",
      "  参数: α=0.0548, β=0.1216\n",
      "  最佳检测时点: 84.00000 天 (12.00000 周)\n",
      "  此时达标概率: 1.0000\n",
      "  最小综合损失: 0.2775\n",
      "  计算方法: Brent\n",
      "分组 3:\n",
      "  参数: α=4.3277, β=-0.1280\n",
      "  最佳检测时点: 70.00000 天 (10.00000 周)\n",
      "  此时达标概率: 0.0096\n",
      "  最小综合损失: 7922.8917\n",
      "  计算方法: 边界检查\n",
      "分组 4:\n",
      "  参数: α=-0.2322, β=0.0802\n",
      "  最佳检测时点: 92.11660 天 (13.15951 周)\n",
      "  此时达标概率: 0.9992\n",
      "  最小综合损失: 10.2976\n",
      "  计算方法: Brent\n",
      "已保存图片: sovle_2_BMI分组_0_损失函数曲线.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "已保存图片: sovle_2_BMI分组_1_损失函数曲线.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "已保存图片: sovle_2_BMI分组_2_损失函数曲线.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "已保存图片: sovle_2_BMI分组_3_损失函数曲线.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "已保存图片: sovle_2_BMI分组_4_损失函数曲线.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-07T13:38:33.305524Z",
     "start_time": "2025-09-07T13:38:33.290434Z"
    }
   },
   "cell_type": "code",
   "source": "",
   "id": "79dd513dafffcf79",
   "outputs": [],
   "execution_count": null
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
